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Seventh INFN International School on: "Architectures, tools and methodologies for developing efficient large scale scientific computing applications" ESC15 - Bertinoro (Forlì-Cesena) Italy 25-31 October 2015

25–31 Oct 2015
Bertinoro
Europe/Rome timezone

Session

Session 5

30 Oct 2015, 08:30
Bertinoro

Bertinoro

Presentation materials

There are no materials yet.

  1. 0. Programming GPUs with OpenCL: Kernel programs
    Dr Tim Mattson (Intel)
    30/10/2015, 08:30
  2. 1. Programming GPUs with OpenCL: Performance issues
    Dr Tim Mattson (Intel)
    30/10/2015, 09:15
  3. 2. Lecture
    30/10/2015, 10:30
  4. 3. Cluster Computing with MPI
    Dr Tim Mattson (Intel)
    30/10/2015, 11:15
  5. 4. Consolidation
    30/10/2015, 12:00
  6. 59. The 10 core constructs every MPI programmer should know
    Dr Tim Mattson (Intel)
    30/10/2015, 15:00
  7. 60. Geometric decomposition and MPI
    Dr Tim Mattson (Intel)
    30/10/2015, 15:45
  8. 64. Information
    Mauro Morandin (PD)
    30/10/2015, 17:00
  9. 61. Consolidation
    30/10/2015, 17:05
  10. 63. Big Data: What happens when data actually gets big?
    Dr Tim Mattson (Intel)
    30/10/2015, 18:35
    There are Big Data problems today. Usually when researchers talk about Big Data, however, the data isn't that big. An inefficient solution stack based on direct products over data-sets (Map-Reduce/Hadoop), cramming data (the square peg) into whatever data-store is available (the round hole), and moving data around between data-severs and computer-servers: all of this is OK if Big Data is not...
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